Name
Abstract | ||
|---|---|---|
Drones, including remotely piloted aircraft or unmanned aerial vehicles, have become extremely appealing over the recent years, with a multitude of applications and usages. However, they can potentially present major threats for security and public safety, especially when they fly across critical infrastructures and public spaces. This work investigates a novel counter-drone solution by proposing a multi-agent framework in which a team of pursuer drones cooperate in order to track and jam a rogue drone. Within the proposed framework, a joint mobility and power control solution is developed to optimize the respective decisions of each cooperating agent in order to best track and intercept the moving rogue drone. Both centralized and distributed variants of the joint optimization problem are developed and extensive simulations are conducted to evaluate the performance of the problem variants and to demonstrate the effectiveness of the proposed solution. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMC.2021.3062225 | IEEE Transactions on Mobile Computing |
Keywords | DocType | Volume |
Multi-agent tracking,jamming,decision and control,optimization | Journal | 21 |
Issue | ISSN | Citations |
10 | 1536-1233 | 0 |
PageRank | References | Authors |
0.34 | 19 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panayiota Valianti | 1 | 0 | 0.34 |
| Savvas Papaioannou | 2 | 6 | 3.55 |
| Panayiotis Kolios | 3 | 95 | 25.07 |
| Georgios Ellinas | 4 | 0 | 0.68 |